{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b8a5a633",
   "metadata": {},
   "source": [
    "# Tensorflow工程师职场实战技第7课书面作业\n",
    "\n",
    "学号：114764\n",
    "\n",
    "**作业内容：**  \n",
    "使用TensorFlow slim 模块，对CIRFA-10 数据进行fine-tuning（自行选择合适的模型）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df5f6fb4",
   "metadata": {},
   "source": [
    "选择Inception V1模型来对CIFAR-10数据集进行fine-tunning。  \n",
    "下面是实现部分。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4edf8e50",
   "metadata": {},
   "source": [
    "## 1. 环境准备\n",
    "\n",
    "tensorflow 1.15.0  \n",
    "tf-slim 1.1.0\n",
    "\n",
    "下载tensorflow slim源码：https://github.com/tensorflow/models  \n",
    "可以用git或者直接下载。  \n",
    "源码下载后，进入“models/research/slim”目录，下面所有操作都是在此目录下进行。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1ced6ea",
   "metadata": {},
   "source": [
    "## 2. 下载Cifar-10数据集并转换为slim识别的格式"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5df81650",
   "metadata": {},
   "source": [
    "执行如下命令：\n",
    "```\n",
    "python download_and_convert_data.py --dataset_name=cifar10 --dataset_dir=D:/datasets/cifar10\n",
    "```\n",
    "会将cifar-10数据集下载到“D:/datasets/cifar10”并转化为TFRecord格式。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "01d78c16",
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import absolute_import\n",
    "from __future__ import division\n",
    "from __future__ import print_function\n",
    "\n",
    "import matplotlib\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import math\n",
    "import numpy as np\n",
    "import tensorflow.compat.v1 as tf\n",
    "import time\n",
    "import os\n",
    "from datasets import dataset_utils\n",
    "import tf_slim as slim\n",
    "from datasets import cifar10\n",
    "from nets import inception\n",
    "from preprocessing import inception_preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8af19030",
   "metadata": {},
   "outputs": [],
   "source": [
    "cifar10_data_dir = 'D:/datasets/cifar10'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c87b440",
   "metadata": {},
   "source": [
    "从训练集中选取2张图片显示一下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5c4c71e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with tf.Graph().as_default(): \n",
    "    dataset = cifar10.get_split('train', cifar10_data_dir)\n",
    "    data_provider = slim.dataset_data_provider.DatasetDataProvider(\n",
    "        dataset, common_queue_capacity=32, common_queue_min=1)\n",
    "    image, label = data_provider.get(['image', 'label'])\n",
    "    \n",
    "    with tf.Session() as sess:    \n",
    "        with slim.queues.QueueRunners(sess):\n",
    "            for i in range(2):\n",
    "                np_image, np_label = sess.run([image, label])\n",
    "                height, width, _ = np_image.shape\n",
    "                class_name = name = dataset.labels_to_names[np_label]\n",
    "                \n",
    "                plt.figure()\n",
    "                plt.imshow(np_image)\n",
    "                plt.title('%s, %d x %d' % (name, height, width))\n",
    "                plt.axis('off')\n",
    "                plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a6cc463",
   "metadata": {},
   "source": [
    "## 3. 下载Inception V1模型的预训练文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "77d74f1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"http://download.tensorflow.org/models/inception_v1_2016_08_28.tar.gz\"\n",
    "checkpoints_dir = 'D:/datasets/checkpoints'\n",
    "if not tf.gfile.Exists(checkpoints_dir):\n",
    "    tf.gfile.MakeDirs(checkpoints_dir)\n",
    "dataset_utils.download_and_uncompress_tarball(url, checkpoints_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3387bf01",
   "metadata": {},
   "source": [
    "加载预训练文件的权值后，找一下图片测试一下效果："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c726089d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Restoring parameters from D:/datasets/checkpoints\\inception_v1.ckpt\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Probability 27.83% => [shower curtain]\n",
      "Probability 19.99% => [bookcase]\n",
      "Probability 14.26% => [window screen]\n",
      "Probability 2.73% => [grand piano, grand]\n",
      "Probability 2.46% => [brass, memorial tablet, plaque]\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "\n",
    "classfilename = 'imagenet_1000_labels.json' ##预先下载了一下分类对应的名称表\n",
    "with open(classfilename) as f:\n",
    "    class_lst = json.load(f)\n",
    "\n",
    "image_size = inception.inception_v1.default_image_size\n",
    "with tf.Graph().as_default():\n",
    "    image_string = tf.gfile.FastGFile('./girl1.jpg','rb').read()#urllib.urlopen(url).read()\n",
    "    image = tf.image.decode_jpeg(image_string, channels=3)\n",
    "    processed_image = inception_preprocessing.preprocess_image(image, image_size, image_size, is_training=False)\n",
    "    processed_images  = tf.expand_dims(processed_image, 0)\n",
    "    \n",
    "    # Create the model, use the default arg scope to configure the batch norm parameters.\n",
    "    with slim.arg_scope(inception.inception_v1_arg_scope()):\n",
    "        logits, _ = inception.inception_v1(processed_images, num_classes=1001, is_training=False)\n",
    "    probabilities = tf.nn.softmax(logits)\n",
    "    \n",
    "    init_fn = slim.assign_from_checkpoint_fn(\n",
    "        os.path.join(checkpoints_dir, 'inception_v1.ckpt'),\n",
    "        slim.get_model_variables('InceptionV1'))\n",
    "    \n",
    "    with tf.Session() as sess:\n",
    "        init_fn(sess)\n",
    "        np_image, probabilities = sess.run([image, probabilities])\n",
    "        probabilities = probabilities[0, 0:]\n",
    "        sorted_inds = [i[0] for i in sorted(enumerate(-probabilities), key=lambda x:x[1])]\n",
    " \n",
    "    plt.figure()\n",
    "    plt.imshow(np_image.astype(np.uint8))\n",
    "    plt.axis('off')\n",
    "    plt.show()\n",
    "\n",
    "    for i in range(5):\n",
    "        index = sorted_inds[i]\n",
    "        print('Probability %0.2f%% => [%s]' % (probabilities[index] * 100, class_lst[index]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cff3c4eb",
   "metadata": {},
   "source": [
    "## 4. 对模型进行修改并fine-tunning\n",
    "1. 将模型修改适应10分类上；   \n",
    "2. 基于预训练权值训练模型；"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2c46c4ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_batch(dataset, batch_size=32, height=299, width=299, is_training=False):\n",
    "    \"\"\"Loads a single batch of data.\n",
    "    \n",
    "    Args:\n",
    "      dataset: The dataset to load.\n",
    "      batch_size: The number of images in the batch.\n",
    "      height: The size of each image after preprocessing.\n",
    "      width: The size of each image after preprocessing.\n",
    "      is_training: Whether or not we're currently training or evaluating.\n",
    "    \n",
    "    Returns:\n",
    "      images: A Tensor of size [batch_size, height, width, 3], image samples that have been preprocessed.\n",
    "      images_raw: A Tensor of size [batch_size, height, width, 3], image samples that can be used for visualization.\n",
    "      labels: A Tensor of size [batch_size], whose values range between 0 and dataset.num_classes.\n",
    "    \"\"\"\n",
    "    data_provider = slim.dataset_data_provider.DatasetDataProvider(\n",
    "        dataset, common_queue_capacity=32,\n",
    "        common_queue_min=8)\n",
    "    image_raw, label = data_provider.get(['image', 'label'])\n",
    "    \n",
    "    # Preprocess image for usage by Inception.\n",
    "    image = inception_preprocessing.preprocess_image(image_raw, height, width, is_training=is_training)\n",
    "    \n",
    "    # Preprocess the image for display purposes.\n",
    "    image_raw = tf.expand_dims(image_raw, 0)\n",
    "    image_raw = tf.image.resize_images(image_raw, [height, width])\n",
    "    image_raw = tf.squeeze(image_raw)\n",
    "\n",
    "    # Batch it up.\n",
    "    images, images_raw, labels = tf.train.batch(\n",
    "          [image, image_raw, label],\n",
    "          batch_size=batch_size,\n",
    "          num_threads=1,\n",
    "          capacity=2 * batch_size)\n",
    "    \n",
    "    return images, images_raw, labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1ecea18b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Summary name losses/Total Loss is illegal; using losses/Total_Loss instead.\n",
      "INFO:tensorflow:Restoring parameters from D:/datasets/inception_finetuned/model.ckpt-2\n",
      "WARNING:tensorflow:From C:\\Users\\13917\\anaconda3\\envs\\tf15\\lib\\site-packages\\tensorflow_core\\python\\training\\saver.py:1069: get_checkpoint_mtimes (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use standard file utilities to get mtimes.\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Starting Session.\n",
      "INFO:tensorflow:Saving checkpoint to path D:/datasets/inception_finetuned/model.ckpt\n",
      "INFO:tensorflow:Starting Queues.\n",
      "INFO:tensorflow:global_step/sec: 0\n",
      "INFO:tensorflow:Recording summary at step 2.\n",
      "INFO:tensorflow:global step 3: loss = 2.9518 (5.517 sec/step)\n",
      "INFO:tensorflow:global step 4: loss = 2.6492 (3.186 sec/step)\n",
      "INFO:tensorflow:global step 5: loss = 2.8404 (3.194 sec/step)\n",
      "INFO:tensorflow:global step 6: loss = 2.8506 (3.220 sec/step)\n",
      "INFO:tensorflow:global step 7: loss = 2.7651 (3.248 sec/step)\n",
      "INFO:tensorflow:global step 8: loss = 2.7710 (3.297 sec/step)\n",
      "INFO:tensorflow:global step 9: loss = 2.7249 (3.109 sec/step)\n",
      "INFO:tensorflow:global step 10: loss = 2.5670 (3.216 sec/step)\n",
      "INFO:tensorflow:global step 11: loss = 2.8701 (3.225 sec/step)\n",
      "INFO:tensorflow:global step 12: loss = 3.0152 (3.304 sec/step)\n",
      "INFO:tensorflow:global step 13: loss = 2.8500 (3.247 sec/step)\n",
      "INFO:tensorflow:global step 14: loss = 2.9936 (3.258 sec/step)\n",
      "INFO:tensorflow:global step 15: loss = 2.6576 (3.311 sec/step)\n",
      "INFO:tensorflow:global step 16: loss = 2.7575 (3.308 sec/step)\n",
      "INFO:tensorflow:global step 17: loss = 2.7285 (3.260 sec/step)\n",
      "INFO:tensorflow:global step 18: loss = 2.7013 (3.257 sec/step)\n",
      "INFO:tensorflow:global step 19: loss = 3.1207 (3.300 sec/step)\n",
      "INFO:tensorflow:global step 20: loss = 2.7212 (3.271 sec/step)\n",
      "INFO:tensorflow:global step 21: loss = 2.8692 (3.246 sec/step)\n",
      "INFO:tensorflow:global step 22: loss = 2.6535 (3.277 sec/step)\n",
      "INFO:tensorflow:global step 23: loss = 2.9401 (3.307 sec/step)\n",
      "INFO:tensorflow:global step 24: loss = 2.7001 (3.275 sec/step)\n",
      "INFO:tensorflow:global step 25: loss = 2.7807 (3.239 sec/step)\n",
      "INFO:tensorflow:global step 26: loss = 2.7980 (3.299 sec/step)\n",
      "INFO:tensorflow:global step 27: loss = 2.7710 (3.383 sec/step)\n",
      "INFO:tensorflow:global step 28: loss = 2.7083 (3.260 sec/step)\n",
      "INFO:tensorflow:global step 29: loss = 2.6266 (3.258 sec/step)\n",
      "INFO:tensorflow:global step 30: loss = 2.7349 (3.432 sec/step)\n",
      "INFO:tensorflow:global step 31: loss = 2.5868 (3.297 sec/step)\n",
      "INFO:tensorflow:global step 32: loss = 2.5094 (3.293 sec/step)\n",
      "INFO:tensorflow:global step 33: loss = 2.8040 (3.316 sec/step)\n",
      "INFO:tensorflow:global step 34: loss = 2.4740 (3.240 sec/step)\n",
      "INFO:tensorflow:global step 35: loss = 2.6186 (3.248 sec/step)\n",
      "INFO:tensorflow:global step 36: loss = 2.6861 (3.300 sec/step)\n",
      "INFO:tensorflow:global step 37: loss = 2.6327 (3.262 sec/step)\n",
      "INFO:tensorflow:global step 38: loss = 2.9280 (3.242 sec/step)\n",
      "INFO:tensorflow:global step 39: loss = 3.1843 (3.234 sec/step)\n",
      "INFO:tensorflow:global step 40: loss = 2.7886 (3.279 sec/step)\n",
      "INFO:tensorflow:global step 41: loss = 2.4427 (3.283 sec/step)\n",
      "INFO:tensorflow:global step 42: loss = 2.9248 (3.252 sec/step)\n",
      "INFO:tensorflow:global step 43: loss = 2.8437 (3.273 sec/step)\n",
      "INFO:tensorflow:global step 44: loss = 2.5464 (3.306 sec/step)\n",
      "INFO:tensorflow:global step 45: loss = 2.5712 (3.032 sec/step)\n",
      "INFO:tensorflow:global step 46: loss = 2.7133 (3.036 sec/step)\n",
      "INFO:tensorflow:global step 47: loss = 2.8565 (3.052 sec/step)\n",
      "INFO:tensorflow:global step 48: loss = 2.7520 (3.035 sec/step)\n",
      "INFO:tensorflow:global step 49: loss = 2.7747 (3.035 sec/step)\n",
      "INFO:tensorflow:global step 50: loss = 2.5538 (3.019 sec/step)\n",
      "INFO:tensorflow:global step 51: loss = 2.4602 (3.078 sec/step)\n",
      "INFO:tensorflow:global step 52: loss = 2.5957 (3.265 sec/step)\n",
      "INFO:tensorflow:global step 53: loss = 2.4210 (3.303 sec/step)\n",
      "INFO:tensorflow:global step 54: loss = 2.8353 (3.266 sec/step)\n",
      "INFO:tensorflow:global step 55: loss = 2.7502 (3.255 sec/step)\n",
      "INFO:tensorflow:global step 56: loss = 3.0067 (3.251 sec/step)\n",
      "INFO:tensorflow:global step 57: loss = 2.9525 (3.321 sec/step)\n",
      "INFO:tensorflow:global step 58: loss = 2.8967 (3.251 sec/step)\n",
      "INFO:tensorflow:global step 59: loss = 2.5510 (3.238 sec/step)\n",
      "INFO:tensorflow:global step 60: loss = 2.6478 (3.290 sec/step)\n",
      "INFO:tensorflow:global step 61: loss = 2.6034 (3.328 sec/step)\n",
      "INFO:tensorflow:global step 62: loss = 2.7142 (3.305 sec/step)\n",
      "INFO:tensorflow:global step 63: loss = 2.6791 (3.338 sec/step)\n",
      "INFO:tensorflow:global step 64: loss = 2.7627 (3.371 sec/step)\n",
      "INFO:tensorflow:global step 65: loss = 2.8894 (3.245 sec/step)\n",
      "INFO:tensorflow:global step 66: loss = 2.4543 (3.365 sec/step)\n",
      "INFO:tensorflow:global step 67: loss = 2.7373 (3.359 sec/step)\n",
      "INFO:tensorflow:global step 68: loss = 2.6304 (3.240 sec/step)\n",
      "INFO:tensorflow:global step 69: loss = 2.4167 (3.277 sec/step)\n",
      "INFO:tensorflow:global step 70: loss = 2.4594 (3.427 sec/step)\n",
      "INFO:tensorflow:global step 71: loss = 2.8281 (3.249 sec/step)\n",
      "INFO:tensorflow:global step 72: loss = 2.7528 (3.284 sec/step)\n",
      "INFO:tensorflow:global step 73: loss = 2.6731 (3.353 sec/step)\n",
      "INFO:tensorflow:global step 74: loss = 2.3657 (3.372 sec/step)\n",
      "INFO:tensorflow:global step 75: loss = 2.5519 (3.330 sec/step)\n",
      "INFO:tensorflow:global step 76: loss = 2.6771 (3.400 sec/step)\n",
      "INFO:tensorflow:global step 77: loss = 2.6471 (3.288 sec/step)\n",
      "INFO:tensorflow:global step 78: loss = 2.4007 (3.315 sec/step)\n",
      "INFO:tensorflow:global step 79: loss = 2.5276 (3.662 sec/step)\n",
      "INFO:tensorflow:global step 80: loss = 2.6051 (3.718 sec/step)\n",
      "INFO:tensorflow:global step 81: loss = 2.6495 (3.329 sec/step)\n",
      "INFO:tensorflow:global step 82: loss = 2.9933 (3.546 sec/step)\n",
      "INFO:tensorflow:global step 83: loss = 2.3363 (3.417 sec/step)\n",
      "INFO:tensorflow:global step 84: loss = 2.5819 (3.278 sec/step)\n",
      "INFO:tensorflow:global step 85: loss = 3.1796 (3.391 sec/step)\n",
      "INFO:tensorflow:global step 86: loss = 2.5252 (3.368 sec/step)\n",
      "INFO:tensorflow:global step 87: loss = 2.8388 (3.592 sec/step)\n",
      "INFO:tensorflow:global step 88: loss = 2.7617 (3.427 sec/step)\n",
      "INFO:tensorflow:global step 89: loss = 2.7050 (3.369 sec/step)\n",
      "INFO:tensorflow:global step 90: loss = 2.3150 (3.375 sec/step)\n",
      "INFO:tensorflow:global step 91: loss = 2.5858 (3.338 sec/step)\n",
      "INFO:tensorflow:global step 92: loss = 2.4966 (3.342 sec/step)\n",
      "INFO:tensorflow:global step 93: loss = 2.5219 (3.395 sec/step)\n",
      "INFO:tensorflow:global step 94: loss = 2.6150 (3.305 sec/step)\n",
      "INFO:tensorflow:global step 95: loss = 2.9047 (3.320 sec/step)\n",
      "INFO:tensorflow:global step 96: loss = 2.7429 (3.392 sec/step)\n",
      "INFO:tensorflow:global step 97: loss = 2.7332 (3.337 sec/step)\n",
      "INFO:tensorflow:global step 98: loss = 2.6755 (3.355 sec/step)\n",
      "INFO:tensorflow:global step 99: loss = 2.5835 (3.351 sec/step)\n",
      "INFO:tensorflow:global step 100: loss = 2.6839 (3.284 sec/step)\n",
      "INFO:tensorflow:Stopping Training.\n",
      "INFO:tensorflow:Finished training! Saving model to disk.\n",
      "Finished training. Last batch loss 2.683916\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\13917\\anaconda3\\envs\\tf15\\lib\\site-packages\\tensorflow_core\\python\\summary\\writer\\writer.py:386: UserWarning: Attempting to use a closed FileWriter. The operation will be a noop unless the FileWriter is explicitly reopened.\n",
      "  warnings.warn(\"Attempting to use a closed FileWriter. \"\n"
     ]
    }
   ],
   "source": [
    "image_size = inception.inception_v1.default_image_size\n",
    "\n",
    "def get_init_fn():\n",
    "    \"\"\"Returns a function run by the chief worker to warm-start the training.\"\"\"\n",
    "    checkpoint_exclude_scopes=[\"InceptionV1/Logits\", \"InceptionV1/AuxLogits\"]\n",
    "    \n",
    "    exclusions = [scope.strip() for scope in checkpoint_exclude_scopes]\n",
    "\n",
    "    variables_to_restore = []\n",
    "    for var in slim.get_model_variables():\n",
    "        for exclusion in exclusions:\n",
    "            if var.op.name.startswith(exclusion):\n",
    "                break\n",
    "        else:\n",
    "            variables_to_restore.append(var)\n",
    "\n",
    "    return slim.assign_from_checkpoint_fn(\n",
    "      os.path.join(checkpoints_dir, 'inception_v1.ckpt'),\n",
    "      variables_to_restore)\n",
    "\n",
    "\n",
    "train_dir = 'D:/datasets/inception_finetuned/'\n",
    "\n",
    "with tf.Graph().as_default():\n",
    "    tf.logging.set_verbosity(tf.logging.INFO)\n",
    "    \n",
    "    dataset = cifar10.get_split('train', cifar10_data_dir)\n",
    "    images, _, labels = load_batch(dataset, height=image_size, width=image_size)\n",
    "    \n",
    "    # Create the model, use the default arg scope to configure the batch norm parameters.\n",
    "    with slim.arg_scope(inception.inception_v1_arg_scope()):\n",
    "        logits, _ = inception.inception_v1(images, num_classes=dataset.num_classes, is_training=True)\n",
    "        \n",
    "    # Specify the loss function:\n",
    "    one_hot_labels = slim.one_hot_encoding(labels, dataset.num_classes)\n",
    "    slim.losses.softmax_cross_entropy(logits, one_hot_labels)\n",
    "    total_loss = slim.losses.get_total_loss()\n",
    "\n",
    "    # Create some summaries to visualize the training process:\n",
    "    tf.summary.scalar('losses/Total Loss', total_loss)\n",
    "  \n",
    "    # Specify the optimizer and create the train op:\n",
    "    optimizer = tf.train.AdamOptimizer(learning_rate=0.01)\n",
    "    train_op = slim.learning.create_train_op(total_loss, optimizer)\n",
    "    \n",
    "    # Run the training:\n",
    "    final_loss = slim.learning.train(\n",
    "        train_op,\n",
    "        logdir=train_dir,\n",
    "        init_fn=get_init_fn(),\n",
    "        number_of_steps=100)\n",
    "        \n",
    "  \n",
    "print('Finished training. Last batch loss %f' % final_loss)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "951f25e5",
   "metadata": {},
   "source": [
    "## 5. 测试一下fine-tunning后的模型效果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5207e271",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Restoring parameters from D:/datasets/inception_finetuned/model.ckpt-100\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "image_size = inception.inception_v1.default_image_size\n",
    "batch_size = 3\n",
    "\n",
    "with tf.Graph().as_default():\n",
    "    tf.logging.set_verbosity(tf.logging.INFO)\n",
    "    \n",
    "    dataset = cifar10.get_split('train', cifar10_data_dir)\n",
    "    images, images_raw, labels = load_batch(dataset, height=image_size, width=image_size)\n",
    "    \n",
    "    # Create the model, use the default arg scope to configure the batch norm parameters.\n",
    "    with slim.arg_scope(inception.inception_v1_arg_scope()):\n",
    "        logits, _ = inception.inception_v1(images, num_classes=dataset.num_classes, is_training=True)\n",
    "\n",
    "    probabilities = tf.nn.softmax(logits)\n",
    "    \n",
    "    checkpoint_path = tf.train.latest_checkpoint(train_dir)\n",
    "    init_fn = slim.assign_from_checkpoint_fn(\n",
    "      checkpoint_path,\n",
    "      slim.get_variables_to_restore())\n",
    "    \n",
    "    with tf.Session() as sess:\n",
    "        with slim.queues.QueueRunners(sess):\n",
    "            sess.run(tf.initialize_local_variables())\n",
    "            init_fn(sess)\n",
    "            np_probabilities, np_images_raw, np_labels = sess.run([probabilities, images_raw, labels])\n",
    "    \n",
    "            for i in range(batch_size): \n",
    "                image = np_images_raw[i, :, :, :]\n",
    "                true_label = np_labels[i]\n",
    "                predicted_label = np.argmax(np_probabilities[i, :])\n",
    "                predicted_name = dataset.labels_to_names[predicted_label]\n",
    "                true_name = dataset.labels_to_names[true_label]\n",
    "                \n",
    "                plt.figure()\n",
    "                plt.imshow(image.astype(np.uint8))\n",
    "                plt.title('Ground Truth: [%s], Prediction [%s]' % (true_name, predicted_name))\n",
    "                plt.axis('off')\n",
    "                plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "86573d21",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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